Statistical Analysis as the Basis for the Practice of Modernizing Personnel Management: International Experience

  • Authors

    • Dmitry Aleksandrovich Endovitsky
    • Irina Borisovna Durakova
    • . .
    2018-12-03
    https://doi.org/10.14419/ijet.v7i4.38.24341
  • Employability, Framework conditions for personnel management, Life expectancy, New generations, Personnel aging, Reappraisal of values.
  • Abstract

    The article is devoted to the issues of modernization of personnel management from the standpoint of the results of the statistical analysis of its framework conditions, studied as social and mass phenomena. Terms of implementation of work with the staff received extensive coverage in the scientific literature, profile-oriented to management, economics, sociology, psychology and law. Insufficient research base for statistical conclusions on the scale of phenomena, their groupings, and dynamics makes it difficult to work on timely diagnosis of the real model of personnel management and the formation of a vector of its modernization. The article systematizes the concept of the components of the two-contour framework, which defines the playing space of work with personnel, shows the classifications of the working age, family models, systematizes the scientific concepts of generations and the dynamics of value systems. Grounds for modernizing the practice of personnel management in organizations are justified. The methods of statistical analysis are given: observation, groupings, and classifications.

     

     

     
  • References

    1. [1] Duxbury L & Ormsbee F (2017), Does studying the past help us understand the future? An examination of the expectations of Gen X knowledge workers. The International Journal of Human Resource Management, 1-29.

      [2] Reshadat S & Zangeneh AA (2018), Feasibility Study of Implementing the Policies on Increasing Birth Rate with an Emphasis on Socio-economic Status: A Case Study of Kermanshah Metropolis, Western Iran. Sozial Indicators Research, 1-18

      [3] Gogin I (2012), Are generational differences in work values fact or fiction? Multi-country evidence and implications. International Journal of Human Resource Management, 23(11), 2268-2294.

      [4] Eddy SNg & Parry E (2016), Multigenerational research in human resource management. Research in Personnel and Human Resources Management, 34, 1-14.

      [5] McPherson HRM (2008), Practices and systems within South-Asian small businesses. International Journal of Entrepreneurial Behavior and Research, 14(6), 414-439.

      [6] Babnik K & Sirca NN (2014), Knowledge creation, transfer and retention: The case of intergenerational cooperation. International Journal of Innovation and Learning, 15(4), 349-364.

      [7] Flato ES, Reinbold-Scheible Zukunftweisendes Personalmanagement. München: Moderne Industrie, 2008.

      [8] Kvasha AYa, What is demography? Moscow: Mysl, 1985.

      [9] Novoselsky SA, Mortality and life expectancy in Russia. Petrograd: printing house of the Ministry of Internal Affairs, 1916.

      [10] Federal State Statistics Service, Russian Statistical Yearbook. Moscow: Stat.b.RosstatPg, 2016.

      [11] Pawlik T (2000), Personalmanagement und Auslandseinsatz. Germany: Gabler.

      [12] Oecehsler WA & Paul Ch (2015), Personal und Arbeit. Einführung in das Personalmanagement. München: Oldenbourg Verlag.

      [13] Bartscher T & Huber A (2007). Praktische Personalwirtschaft. Germany: Gabler.

      [14] Schobert D (2012), Personalmanagementkonzepte zur Erhaltung und Steigerung des individuellen Leistungspotentials der Belegschaft. Hamburg: Verlag Dr.KoraČ.

      [15] Petzold M (2001), Familien heute. Sieben Typen familialen Zusammenlebens. Televizion 14, 16-19.

      [16] Jung H (2017), Personalwirtschaft. München, Wien: Oldenbourg Verlag.

      [17] Stock-Homburg R (2010), Personalmanagement. Lehrbuch, Wiesbaden: Gabler.

      [18] Wehrlir U. (2012) Strategisches Personalmanagement. München: AVM Verlag.

      [19] Income from work after retirement in the EU. Luxemburg: Publications office of the European Union, 2012.

  • Downloads

  • How to Cite

    Aleksandrovich Endovitsky, D., Borisovna Durakova, I., & ., . (2018). Statistical Analysis as the Basis for the Practice of Modernizing Personnel Management: International Experience. International Journal of Engineering & Technology, 7(4.38), 145-151. https://doi.org/10.14419/ijet.v7i4.38.24341

    Received date: 2018-12-18

    Accepted date: 2018-12-18

    Published date: 2018-12-03